Arielle Carr
According to our database1,
Arielle Carr
authored at least 15 papers
between 2021 and 2024.
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective.
CoRR, 2024
A Dynamic Weighting Strategy to Mitigate Worker Node Failure in Distributed Deep Learning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
2023
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization.
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
CoRR, 2022
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection.
CoRR, 2022
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
A Predictor-Corrector Method for Multi-objective Optimization in Fair Machine Learning.
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022
2021